Abstract: Raising the number of services is emerging on the Web
Development to get the relevant service-relevant data become too big to be
effectively processed by traditional approaches. So Arise the Big Data
Knowledge for challenge environment in the Mash ups. Clustering-based
Collaborative Filtering approach (Club CF) is planned recruiting similar
services in the same clusters to recommend services collaboratively
(Recommender Service System).Technically this approach is enacted around two
stages: In first stage, the available services are divided into small-scale
clusters in logic for further processing. In second stage, a collaborative
filtering algorithm is imposed on one of the clusters. The number of the
services in a cluster is much less than the total number of the services
available on the web, it is used to reduce the online
execution time of collaborative filtering.